activity
20142020
most citedMake Skeleton-based Action Recognition Model Smaller, Faster and Better

29 citations · 73 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2020★ 25 cited

ReMOTS: Self-Supervised Refining Multi-Object Tracking and Segmentation

Fan Yang, Xin Chang, Chenyu Dang +4

We aim to improve the performance of Multiple Object Tracking and Segmentation (MOTS) by refinement. However, it remains challenging for refining MOTS results, which could be attri…

cs.CV2019

Using Panoramic Videos for Multi-person Localization and Tracking in a 3D Panoramic Coordinate

Fan Yang, Feiran Li, Yang Wu +2

3D panoramic multi-person localization and tracking are prominent in many applications, however, conventional methods using LiDAR equipment could be economically expensive and also…

cs.CV2019★ 29 cited

Make Skeleton-based Action Recognition Model Smaller, Faster and Better

Fan Yang, Sakriani Sakti, Yang Wu +1

Although skeleton-based action recognition has achieved great success in recent years, most of the existing methods may suffer from a large model size and slow execution speed. To…

cs.CV2019★ 10 cited

Beyond Intra-modality: A Survey of Heterogeneous Person Re-identification

Zheng Wang, Zhixiang Wang, Yinqiang Zheng +3

An efficient and effective person re-identification (ReID) system relieves the users from painful and boring video watching and accelerates the process of video analysis. Recently,…

cs.CV2014★ 9 cited

Collaborative Representation for Classification, Sparse or Non-sparse?

Yang Wu, Vansteenberge Jarich, Masayuki Mukunoki +1

Sparse representation based classification (SRC) has been proved to be a simple, effective and robust solution to face recognition. As it gets popular, doubts on the necessity of e…